Accurate non-empirical range-separated hybrid van der Waals density functional for complex molecular problems, solids, and surfaces
Vivekanand Shukla, Yang Jiao, Jung-Hoon Lee, Elsebeth Schroder,, Jeffrey B. Neaton, and Per Hyldgaard

TL;DR
The paper introduces vdW-DF2-ahbr, a new non-empirical range-separated hybrid van der Waals density functional that significantly improves accuracy for molecular, surface, and solid-state problems, outperforming existing methods.
Contribution
It presents a novel vdW-DF2-ahbr functional combining correlation and exchange effects, enhancing accuracy and mitigating errors in noncovalent interactions and molecular transition states.
Findings
Outperforms current vdW-DFs on noncovalent benchmarks
Accurately predicts CO adsorption on Pt(111)
Improves DNA base-pair interaction modeling
Abstract
We introduce a new, general-purpose, range-separated hybrid van der Waals density \ph{functional, termed vdW-DF-ahbr,} within the non-empirical vdW-DF method [JPCM 32, 393001 (2020)]. It combines correlation from vdW-DF2 with a screened Fock exchange that is fixed by \ph{a new model of exchange effects} in the density-explicit vdW-DF2-b86r functional [PRB 89, 121103(R) (2014)]. The new vdW-DF2-ahbr prevents spurious exchange binding and has a small-density-gradient form set from many-body perturbation analysis. It is accurate for \ph{bulk as well as layered materials} and it systematically and significantly improves the performance of present vdW-DFs for molecular problems. Importantly, vdW-DF2-ahbr also outperforms present-standard (dispersion-corrected) range-separated hybrids on a broad collection of noncovalent-interaction benchmark sets, while at the same time successfully…
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Taxonomy
TopicsPhysics of Superconductivity and Magnetism · Advanced Chemical Physics Studies · Machine Learning in Materials Science
